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Hugging Face teams up with Big Tech on open-source offering
The start-up wants to accelerate AI app development using open models with 'with zero configuration required'. AI start-up Hugging Face has teamed up with Amazon Web Services (AWS), Google and others to launch its new open model offering to developers. The New York-based company, which has been
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Startup Hugging Face aims to cut AI costs with open source offering
Oct 23 (Reuters) - Hugging Face on Wednesday said it is releasing a new open-source software offering with Amazon.com (AMZN.O), opens new tab, Alphabet's (GOOGL.O), opens new tab Google and others aimed at lowering the costs for building chatbots and other AI systems. New York-based startup
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Startup Hugging Face aims to cut AI costs with open source offering
(Reuters) - Hugging Face on Wednesday said it is releasing a new open-source software offering with Amazon.com, Alphabet's Google and others aimed at lowering the costs for building chatbots and other AI systems. New York-based startup Hugging Face has become a central place where AI software
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Startup Hugging Face aims to cut AI costs with open source offering
"We're living in this anomaly where the norm has been to outsource your AI technology to third parties and black box systems," Boudier told Reuters. "Whereas for as long as we've had tech industry, companies have wanted to build their own technology and understand and control their own technology.
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Hugging Face, in collaboration with tech giants, introduces HUGS, an open-source AI offering aimed at simplifying and reducing costs for AI development while promoting data privacy and control.
Hugging Face, the New York-based AI startup valued at $4.5 billion, has unveiled a new open-source software offering called HUGS (Hugging Face for Generative AI Services) in collaboration with tech giants Amazon Web Services (AWS), Google, and others. This innovative product aims to simplify AI application development and reduce associated costs
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.HUGS is designed to address a significant challenge in the AI industry: the complexity of optimizing inference workloads for large language models (LLMs) on specific hardware accelerators. The new offering promises "zero configuration required" for developers, enabling maximum throughput deployments for popular open LLMs right out of the box
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.Hugging Face will offer HUGS through Amazon and Google's cloud computing services at a competitive rate of $1 per hour. It will also be available on Digital Ocean, a specialty cloud computing company. Furthermore, companies will have the option to download the Hugging Face offering to run in their own data centers, providing flexibility in deployment
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.As a central hub for AI software developers to share code, Hugging Face has been instrumental in distributing open-source AI technologies, including Meta Platforms' Llama. HUGS aims to further democratize good machine learning by making it easier for companies to build their AI using the best open models available
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.Jeff Boudier, head of product and growth at Hugging Face, emphasized that HUGS is designed to help companies gain control over both the costs of their AI efforts and their data privacy. This is particularly crucial for industries like finance and healthcare, which have strict regulations concerning customer data
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While HUGS's primary competition comes from commercial services offered by companies such as OpenAI and Google-backed Anthropic AI, Hugging Face's open-source approach sets it apart. The company's platform has garnered significant attention from industry leaders, with tech giants like Nvidia, Salesforce, Google, and Amazon participating in a major funding round that raised $235 million for Hugging Face in 2023
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.Boudier highlighted the shift HUGS represents in the AI industry: "We're living in this anomaly where the norm has been to outsource your AI technology to third parties and black box systems. What we're trying to do is to make it as easy for a company to build their AI using the best open models available"
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. This approach could potentially reshape how businesses approach AI development, favoring in-house solutions over third-party services.Summarized by
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